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For successful implementation of evidence-based practice, understanding and interpretation of the research are essential. For this reason, it is important to understand the difference between statistical significance and clinical significance. Statistically, a significant result implies a relationship or a difference between the variables that were not solely caused by normal variation or chance. statistical significance as a parameter in evidence-based practice shows the extent or the likelihood that finding from the research is true and does not occur by a chance (Heavey, 2015). Clinical significance is essentially a subjective interpretation of research findings as meaningful for a patient under care, and therefore likely to influence the behavior of healthcare providers (Heavey, 2015). In evidence-based research practice, statistical significance must always be determined before the determination of clinical significance. However, the clinical significance is usually a subjective evaluation and cannot be established by a single experiential test. I can use clinical significance to support positive outcomes in my project outcome by ensuring that the result is statistically significant. In general majority of statistically significant findings normally have clinical significance.
 Reference:
Heavey, E. (2015). Differentiating statistical significance and clinical significance. American Nurse Today, 10(5): 26-28. Available from https://www.brockport.edu/daily_eagle/doc/2015-04/item_8038_7659.pdf
In addition to integrating research evidence and clinical expertise what items do health professionals need to implement to effectively carry out evidence-based practice?
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HEALTH SCIENCE
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